Prognostic Role of Fasting Remnant Cholesterol with In-Stent Restenosis After Drug-Eluting Stent Implantation

Int J Gen Med. 2022 Feb 18:15:1733-1742. doi: 10.2147/IJGM.S348148. eCollection 2022.

Abstract

Objective: In-stent restenosis (ISR) is regarded as a critical limiting factor in stenting for coronary heart disease (CHD). Recent research has shown that fasting residual cholesterol (RC) has been shown to have a substantial impact on coronary heart disease. Unfortunately, there have not been much data to bear out the relationship between RC and ISR. Then, the predictive value of RC for in-stent restenosis in patients with coronary heart disease was analyzed.

Patients and methods: Aiming to explore the relationship between RC and ISR, we designed a retrospective study of patients with CHD after drug-eluting stent (DES) implantation, combining the data from a public database and selecting the best-fitting model by comparing the optical subset with least absolute shrinkage and selection operator (LASSO) regression.

Results: Analysis of the abovementioned two models showed that the optical subset optimal subset model, which was based on RC, creatine, history of diabetes, smoking, multi-vessel lesions (2 vessels or more lesions), peripheral vascular lesions (PAD), and blood uric acid, had a better fit (AUC = 0.68), and that RC was an independent risk factor for ISR in the abovementioned two models. Notwithstanding its limitation, this study does suggest that RC has good predictive value for ISR.

Conclusion: Remnant cholesterol is an independent risk factor for in-stent restenosis after percutaneous coronary intervention (PCI) and is a reliable predictor of ISR.

Keywords: DES; ISR; LASSO; PCI; RC; drug-eluting stents; in-stent restenosis; least absolute shrinkage and selection operator; percutaneous coronary intervention; remnant cholesterol.

Grants and funding

This work was supported in part by the National Natural Science Foundation of China (82160072) and the Science and Technology Support Project of Enshi Science and Technology Bureau (D20210024). The funding bodies played no role in the design of the study, collection, analysis, and interpretation of the data and in writing the manuscript.